Instructions: You need to include all code, output and explanations. You can have the code all in one
chunk at the end of your paper or you can dispurse code, output and explanations together. It is up to you.
Hard copy is due no later than 2:30 PM 5 February 2016 (I will be in the library until 2:30 that day).
1. R has built-in datasets. One such dataset is called trees. Run the following code to access that dataset:
data(trees).
2. Use the head() command to see the first 6 observations.
3. How many observations and variables are in the dataset?
4. Use attach() so that you do not have to use two-level names to call the variables.
5. Find the mean, median, variance, standard deviation of each of the three variables, Height, Girth, and
Volume using the individual commands (mean(), var(), etc.)
6. Use the command summary() to find the same basic summary as the individual commands. For syntax
help, type ?summary for the help file.
7. Now use the stat.desc() command in the pastecs package for all three variables.
8. Create histograms and boxplots of all three variables (either separate or 3 per panel). Briefly describe
the graphs.
9. Create a scatterplot (with points only) of Girth and Height, placing Girth on the x-axis and Height on
the y-axis. Briefly describe the graph (the main things to mention is whether or not there appears to
be an association and if there is, state whether positve or negative).
10. Read in the dataset from the class website called farmacres.csv. Use read.table(), read.csv() or
use the Import Dataset options in the Environment Window. Call the dataset farm.
11. Use the histogram() command in the Lattice package to create a histogram of the acres by stratum.
Briefly describe the distributions.
ScholarMatic: Explanation & Answer
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